دورية أكاديمية
Statistical Genetic Interval-Valued Type-2 Fuzzy System and its Application
العنوان: | Statistical Genetic Interval-Valued Type-2 Fuzzy System and its Application |
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المؤلفون: | Qiu, Yu |
المصدر: | Computer Science Theses |
بيانات النشر: | ScholarWorks @ Georgia State University |
سنة النشر: | 2006 |
المجموعة: | Scholar Works @ Georgia State University |
مصطلحات موضوعية: | statistical interval-valued fuzzy reasoning, type-2 fuzzy logic, Interval-valued fuzzy logic, fuzzy control, genetic algorithm, Computer Sciences |
الوصف: | In recent years, the type-2 fuzzy sets theory has been used to model and minimize the effects of uncertainties in rule-base fuzzy logic system. In order to make the type-2 fuzzy logic system reasonable and reliable, a new simple and novel statistical method to decide interval-valued fuzzy membership functions and a new probability type reduced reasoning method for the interval-valued fuzzy logic system are proposed in this thesis. In order to optimize this particle system’s performance, we adopt genetic algorithm (GA) to adjust parameters. The applications for the new system are performed and results have shown that the developed method is more accurate and robust to design a reliable fuzzy logic system than type-1 method and the computation of our proposed method is more efficient. |
نوع الوثيقة: | text |
وصف الملف: | application/pdf |
اللغة: | unknown |
العلاقة: | https://scholarworks.gsu.edu/cs_theses/22Test; https://scholarworks.gsu.edu/context/cs_theses/article/1021/viewcontent/qiu_yu_200601_ms.pdfTest |
DOI: | 10.57709/1059367 |
الإتاحة: | https://doi.org/10.57709/1059367Test https://scholarworks.gsu.edu/cs_theses/22Test https://scholarworks.gsu.edu/context/cs_theses/article/1021/viewcontent/qiu_yu_200601_ms.pdfTest |
رقم الانضمام: | edsbas.AFE06AB7 |
قاعدة البيانات: | BASE |
DOI: | 10.57709/1059367 |
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